sara-nl / attention-sampling-pytorchLinks
This is a PyTorch implementation of the paper: "Processing Megapixel Images with Deep Attention-Sampling Models".
☆41Updated last year
Alternatives and similar repositories for attention-sampling-pytorch
Users that are interested in attention-sampling-pytorch are comparing it to the libraries listed below
Sorting:
- To train deep convolutional neural networks, the input data and the activations need to be kept in memory. Given the limited memory avail…☆100Updated last year
- This Python package enables the training and inference of deep learning models for very large data, such as megapixel images, using atten…☆97Updated 5 years ago
- Dense Steerable Filter CNN☆76Updated 2 years ago
- Neural Ordinary Differential Equations for Semantic Segmentation of Individual Colon Glands☆111Updated 5 years ago
- The official repository for "Intermediate Layers Matter in Momentum Contrastive Self Supervised Learning" paper.☆40Updated 3 years ago
- Official implementation of Fixed-Point GAN - ICCV 2019☆100Updated 4 years ago
- PyTorch implementation of Foveation for Segmentation of Ultra-High Resolution Images☆41Updated 3 years ago
- Framework for creating (partially) reversible neural networks with PyTorch☆152Updated 3 years ago
- Official Keras & PyTorch Implementation and Pre-trained Models for TransVW☆63Updated 3 years ago
- ☆54Updated 3 years ago
- ☆93Updated 4 years ago
- Differentiable Data Augmentation Library☆123Updated 3 years ago
- Implementation of PyTorch-based multi-task pre-trained models☆33Updated 4 years ago
- Accepted in MIDL 2020☆32Updated 4 years ago
- [MICCAI2019 & TMI2020] Overfitting under Class Imbalance: Anaylsis and Improvements for Medical Image Segmentation.☆22Updated last year
- COVID deterioration prediction based on chest X-ray radiographs via MoCo-trained image representations☆159Updated 2 years ago
- Code for reproducing the experiments on large-scale pre-training and transfer learning for the paper "Effect of large-scale pre-training …☆18Updated 3 years ago
- A simple to use pytorch wrapper for contrastive self-supervised learning on any neural network☆144Updated 4 years ago
- WACV2021 - A Weakly Supervised Consistency-based Learning Method for COVID-19 Segmentation in CT Images☆40Updated last year
- ☆71Updated 6 years ago
- Core functionality of Eisen☆41Updated 4 years ago
- A PyTorch implementation of the Probabilistic U-Net, applied to probabilistic glioma growth☆43Updated 6 years ago
- SCOUTER: Slot Attention-based Classifier for Explainable Image Recognition (ICCV 2021)☆98Updated 2 years ago
- "Layer-wise Adaptive Rate Scaling" in PyTorch☆87Updated 4 years ago
- Repository for the Medical Out-of-Distribution Analysis Challenge.☆63Updated last year
- ☆33Updated 4 years ago
- Code for the paper "Reinforced Active Learning for Image Segmentation"☆97Updated 4 years ago
- [NeurIPS'20] GradAug: A New Regularization Method for Deep Neural Networks☆94Updated 4 years ago
- Medical Out-of-Distribution Analysis Challenge MICCAI 2020 Solution☆16Updated 2 years ago
- [ICLR 2022] Finding an Unsupervised Image Segmenter in each of your Deep Generative Models☆78Updated 3 years ago